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Development

Featured in Development

Article Series: PHP 8.x

PHP continues to be one of the most widely used scripting languages on the web with 77.3% of all the websites whose server-side programming language is known using it according to w3tech. PHP 8 brings many new features and other improvements, which we shall explore in this article series.

All in development

Architecture & Design

Featured in Architecture & Design

Expanding GraphQL Federation at Netflix with Tejas Shikhare

GraphQL can be a great choice for client to server communication, but it requires investment to maximize its potential. Netflix operates a very large, Federated GraphQL platform. Like any distributed system, this has some benefits, but also creates additional challenges. In this episode, Tejas Shikhare explains the pros and cons of scaling GraphQL adoption.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud

Kai Waehner explores different architectures and their trade-offs for transactional and analytical workloads. Real-world examples include financial services, retail, and the automotive industry.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Your Tech Stack Doesn’t Do What Everyone Needs It To. What Next?

Stack extensibility is an essential trait of well-designed IT ecosystems. Low-code BPA (Business Process Automation) has advantages that puts it at the forefront of approaches to stack extensibility. Learn how low-code software increases process resiliency by empowering business teams with an easy-to-use, easy-to-understand and, most of all, IT-sanctioned set of tools.

All in culture-methods

DevOps

Featured in DevOps

If Twitter Doesn’t Have a Staging Environment, Should Anyone?

With Twitter revealing they do not have a staging environment, how important is staging to delivering quality? When so many tasks are shifting to the developer these days and no one best developer approach fits all, how do dev teams determine the best developer methodology for them and their company?

All in devops

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Aish Fenton on Machine Learning at Netflix

Aish Fenton explains how machine learning is used at Netflix for recommendations but also for many more applications.

Aish Fenton
on Oct 15, 2014

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10:08

Topics

Article Series: PHP 8.x

Expanding GraphQL Federation at Netflix with Tejas Shikhare

Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud

Your Tech Stack Doesn’t Do What Everyone Needs It To. What Next?

If Twitter Doesn’t Have a Staging Environment, Should Anyone?

Helpful links

Choose your language

Interviews

Aish Fenton on Machine Learning at Netflix

Article Series: PHP 8.x

The Six Ways of Optimizing WebAssembly

HC-tree is a High-Concurrency Backend for SQLite Supporting Replication

Avoid Being an "Ivory Tower" Architect: the Relationship between Architects and Their Organisation

Expanding GraphQL Federation at Netflix with Tejas Shikhare

No Next Next: Fighting Entropy in Your Microservices Architecture

Your Tech Stack Doesn’t Do What Everyone Needs It To. What Next?

Delivering Great Software and Building Great Teams at CircleCI

How to Use Your Existing Software Development Process Data to Find More Bugs in Less Time

Google Unveils MusicLM, an AI That Can Generate Music from Text Prompts

DeepMind Announces Minecraft-Playing AI DreamerV3

Resilient Real-Time Data Streaming across the Edge and Hybrid Cloud

Slack's Lessons Learned from Supporting Highly Regulated Workloads on AWS GovCloud

If Twitter Doesn’t Have a Staging Environment, Should Anyone?

Google Boosts Sandboxed Container File System Performance by Improving gVisor

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